impute_covar: Imputute missing covariates

In amp.dm: Data Management Tools for Pharmacometrics

Imputute missing covariates

Description

The function will impute all NA values with either a given statistic (e.g. median) or with the largest group

Usage

impute_covar(var, uniques = NULL, type = "median", verbose = FALSE)

Arguments

var	vector with the items that should be imputed
uniques	vector that defines unique records to enable calculation of stats on non duplicate values
type	character of length one defining the type of statistics to perform for imputation (see details)
verbose	logical indicating if additional information should be given

Details

The function can be used to impute continuous or categorical covariates. In case continuous covariates the type argument should be a statistic like median or mean. In case a categorical covariate is used, the type should be set to 'largest' in which case the category that occurs most is used. In case multiple values occur most, the last encountered is used.

Value

a vector where missing values are imputed

Author(s)

Richard Hooijmaijers

Examples

dfrm  <- data.frame(num1 = c(NA,110))
impute_covar(dfrm$num1,type="median")

amp.dm documentation built on March 13, 2026, 5:08 p.m.